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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_edabi.wasp
Title produced by softwareBivariate Explorative Data Analysis
Date of computationWed, 04 Nov 2009 12:12:21 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/04/t1257362042tyzg6jd2o1o2mhd.htm/, Retrieved Mon, 29 Apr 2024 09:10:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53808, Retrieved Mon, 29 Apr 2024 09:10:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsws5benrmldg
Estimated Impact126

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Partial Correlation] [WS 5: partial cor...] [2009-11-03 20:50:00] [7c2a5b25a196bd646844b8f5223c9b3e]
- RMPD  [Bivariate Explorative Data Analysis] [WS 5: Bivariate E...] [2009-11-04 18:47:17] [7c2a5b25a196bd646844b8f5223c9b3e]
-    D      [Bivariate Explorative Data Analysis] [WS 5: Bivariate E...] [2009-11-04 19:12:21] [3d2053c5f7c50d3c075d87ce0bd87294] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-2,225348423
2,257563984
1,740476391
3,706301205
7,959396904
-1,810786388
-1,764228405
-1,270419804
4,26994678
0,614671842
1,706301205
4,797930568
6,99357209
2,027747276
-1,627527662
-3,076264883
-0,444268937
1,268460179
1,670639417
3,325914355
4,085201453
1,936117913
-4,638423857
-9,15551145
-2,385328158
-1,30459499
-5,936590936
-15,08567448
-11,20058283
-4,660216246
-1,464574724
-3,7751246
-3,20058283
-10,00494131
-3,315491184
-1,004941308
3,454692108
3,201596409
6,833592356
4,627054639
6,052512869
1,07579186
3,822696161
2,086688055
-1,740949414
-0,362049167
2,580496656
5,901942727
4,867767541
-0,017324105
3,810313364
4,051026267
0,672126019
-0,293698795
1,855384745
-1,43188614
-3,444268937
3,945527506
3,541861665
7,506199877
0,816749754
1,000008479
-1,770174813
-9,549075061
-2,783250246
-4,981417326
-1,341050742
0,916057116
-3,913759591
Dataseries Y:
Download CSV
Histogram 
453,76
567,15
-1861,46
-7454,68
-11242,01
-11289,29
11715,62
19336,27
20729,84
17062,92
10369,32
11258,72
10721,21
10375,43
8202,51
2834,34
-371,69
-2429,58
19711,67
23745,59
25554,61
21797,03
15266,24
16605,63
14210,92
14714,05
11338,08
10074,50
9246,14
6347,71
25088,21
25798,35
27194,14
13649,64
4755,79
1004,64
4035,07
-1054,60
-10228,63
-11699,39
-18817,18
-29199,23
-6246,90
-4201,96
-10585,42
-15033,13
-22236,31
-18963,19
-17206,41
-20744,05
-28649,59
-29339,61
-40442,91
-39478,68
-18740,10
-18252,00
-20542,69
-23465,13
-23725,81
-15453,46
-6685,61
-3334,80
1292,91
2637,62
-3574,61
1701,23
22560,80
26551,57
24040,85

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 6 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53808&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53808&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53808&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'George Udny Yule' @ 72.249.76.132






Model: Y[t] = c + b X[t] + e[t]
c-0.000434911298407787
b-1268.51819522574

\begin{tabular}{lllllllll}
\hline
Model: Y[t] = c + b X[t] + e[t] \tabularnewline
c & -0.000434911298407787 \tabularnewline
b & -1268.51819522574 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53808&T=1

[TABLE]
[ROW][C]Model: Y[t] = c + b X[t] + e[t][/C][/ROW]
[ROW][C]c[/C][C]-0.000434911298407787[/C][/ROW]
[ROW][C]b[/C][C]-1268.51819522574[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53808&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53808&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Model: Y[t] = c + b X[t] + e[t]
c-0.000434911298407787
b-1268.51819522574






Descriptive Statistics about e[t]
# observations69
minimum-39851.2418304621
Q1-11031.5578692010
median-952.588524109518
mean5.89390050452599e-13
Q312533.7945599894
maximum30736.7628092044

\begin{tabular}{lllllllll}
\hline
Descriptive Statistics about e[t] \tabularnewline
# observations & 69 \tabularnewline
minimum & -39851.2418304621 \tabularnewline
Q1 & -11031.5578692010 \tabularnewline
median & -952.588524109518 \tabularnewline
mean & 5.89390050452599e-13 \tabularnewline
Q3 & 12533.7945599894 \tabularnewline
maximum & 30736.7628092044 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53808&T=2

[TABLE]
[ROW][C]Descriptive Statistics about e[t][/C][/ROW]
[ROW][C]# observations[/C][C]69[/C][/ROW]
[ROW][C]minimum[/C][C]-39851.2418304621[/C][/ROW]
[ROW][C]Q1[/C][C]-11031.5578692010[/C][/ROW]
[ROW][C]median[/C][C]-952.588524109518[/C][/ROW]
[ROW][C]mean[/C][C]5.89390050452599e-13[/C][/ROW]
[ROW][C]Q3[/C][C]12533.7945599894[/C][/ROW]
[ROW][C]maximum[/C][C]30736.7628092044[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53808&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53808&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Descriptive Statistics about e[t]
# observations69
minimum-39851.2418304621
Q1-11031.5578692010
median-952.588524109518
mean5.89390050452599e-13
Q312533.7945599894
maximum30736.7628092044


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 12 ;
Parameters (R input):
par1 = 0 ; par2 = 12 ;
R code (references can be found in the software module):
par1 <- as.numeric(par1)
par2 <- as.numeric(par2)
x <- as.ts(x)
y <- as.ts(y)
mylm <- lm(y~x)
cbind(mylm$resid)
library(lattice)
bitmap(file='pic1.png')
plot(y,type='l',main='Run Sequence Plot of Y[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic1a.png')
plot(x,type='l',main='Run Sequence Plot of X[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic1b.png')
plot(x,y,main='Scatter Plot',xlab='X[t]',ylab='Y[t]')
grid()
dev.off()
bitmap(file='pic1c.png')
plot(mylm$resid,type='l',main='Run Sequence Plot of e[t]',xlab='time or index',ylab='value')
grid()
dev.off()
bitmap(file='pic2.png')
hist(mylm$resid,main='Histogram of e[t]')
dev.off()
bitmap(file='pic3.png')
if (par1 > 0)
{
densityplot(~mylm$resid,col='black',main=paste('Density Plot of e[t]   bw = ',par1),bw=par1)
} else {
densityplot(~mylm$resid,col='black',main='Density Plot of e[t]')
}
dev.off()
bitmap(file='pic4.png')
qqnorm(mylm$resid,main='QQ plot of e[t]')
qqline(mylm$resid)
grid()
dev.off()
if (par2 > 0)
{
bitmap(file='pic5.png')
acf(mylm$resid,lag.max=par2,main='Residual Autocorrelation Function')
grid()
dev.off()
}
summary(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Model: Y[t] = c + b X[t] + e[t]',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'c',1,TRUE)
a<-table.element(a,mylm$coeff[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'b',1,TRUE)
a<-table.element(a,mylm$coeff[[2]])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Descriptive Statistics about e[t]',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'# observations',header=TRUE)
a<-table.element(a,length(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'minimum',header=TRUE)
a<-table.element(a,min(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q1',header=TRUE)
a<-table.element(a,quantile(mylm$resid,0.25))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'median',header=TRUE)
a<-table.element(a,median(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,mean(mylm$resid))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Q3',header=TRUE)
a<-table.element(a,quantile(mylm$resid,0.75))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'maximum',header=TRUE)
a<-table.element(a,max(mylm$resid))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')